This workshop emphasizes on the need for an end-to-end analytics platform and how various azure services come together to provide a fully managed analytics platform to address all your data needs.
Analytics and AI is the #1 priority across industries and their leadership. Almost all the companies have dedicated budget but task of deriving value from the data in an efficient, performant and on demand requires a detailed understanding of the technology, services and architecture framework. According to a Harvard study, 80% report struggling to become mature users of data and 55% report data silos and data management difficulties as roadblocks.
The reason for above numbers could be manifold. Some of the noticeable ones are:
The need is to have an end-to-end analytics platform which can bring these data silos together, either it’s the modern data lake or the traditional data warehouse and bring together data ingestion, big data analytics and data warehousing into a single, unified service. Through this workshop, you will get a detailed understanding of Microsoft Azure and its data services, see how services like Azure Data Factory, Azure Databricks, Azure Synapse Analytics and Power BI come together to provide the best in class, fully managed analytics platform to address all your data needs. We will also provide insights into how some of our global customers are using Azure data services successfully, lessons learnt from some of these implementations and help you identify a business case to get you started.